Accuracy driven by collective intelligence and automated quality checks
Human-powered labeling from a global network of experts
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The best AI models aren’t just trained and evaluated with human data; they’re built with superhuman data. The strongest datasets emerge through collective intelligence, where humans and machines work together to outperform either alone.
Centaur delivers higher-quality data sets because we have made annotation a competitive sport. Our algorithm measures performance, not just credentials.
Our top annotators don’t just label; they compete. When annotators compete, data improves. When data improves, models perform better.
Whether you bring the data and annotators or rely on ours, we manage the inputs and deliver the highest-quality output.
Test your labeling strategy with our interactive quality playground. Then see how Centaur helps optimize the result.
Adjust your mix in real-time
Visualize cost vs. accuracy
Compare with Centaur's optimization
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Centaur delivers expert-labeled, de-identified, quality-controlled datasets built for training, fine-tuning, and evaluating AI systems where accuracy matters.
Choose from curated datasets or partner with us to create custom datasets tailored to your model, domain, and performance goals.
Our datasets reflect real-world complexity rather than artificial simplicity. They capture expert disagreement, edge cases, and uncertainty across high-value domains, including dermatology, radiology, pathology, ophthalmology, and clinical notes.
Use them confidently for model development, benchmarking and evaluation, synthetic data validation, regulatory support, and research initiatives where trust and credibility are essential.
Your accelerated path to de-identification and certification
AI cannot be deployed until its data can be trusted. Without defensible data de-identification, models get blocked by legal, security, and procurement before they ever reach production.
Whether you supply the data or we provide it, Centaur’s De-ID protects your sensitive data without decreasing its value, giving you the confidence you need to move forward.
Centaur’s de-identification approach combines automated detection, expert human review, privacy-preserving transformation, and rigorous validation to produce data that is both defensibly safe and still fit for real-world AI use.
With leading security and privacy practices in place, you can rest assured we are handling your data with care.
Read the announcement →
“The Centaur.ai platform provided labels at a scale 10x, or 20x, anything we had done by ourselves. Tremendous scale, tremendous throughput, and high-quality labels.”
Daniel Barbosa
Machine Learning Engineer
“We found ~5,000 potential new synonyms for the indication and anatomy vocabularies, but curating that many terms manually would have taken months of dedicated work”
Mark Streer
Scientific Coordinator
“We were able to improve our model dramatically - from .6 to .83 F1 score - in part, because of Centaur.ai.”
Fausto Milletarì
Sr. AI Scientist
From software as a medical device (SaMD) to next generation AI-enabled hardware devices.
How It Works →From accelerating claims processing and reimbursement, to improving customer service.
How It Works →From chatbots answering patient questions to expert review on LLM hallucinations.
How It Works →
